Google Pixel 8 Pro
Geekbench AI Score
399
Single Precision Score
4128
Half Precision Score
7075
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ronitroyri |
| Upload Date | August 31 2025 03:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
99% |
7247
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
7345
119.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15111
245.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
30685
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
60851
71.3 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (Q)
|
87% |
4729
379.3 IPS |
|
|
Face Detection (SP)
|
100% |
583
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
12894
153.2 IPS |
|
|
Face Detection (Q)
|
97% |
24737
294.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
32598
251.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
30902
284.5 IPS |
|
|
Style Transfer (SP)
|
100% |
740
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
748
0.96 IPS |
|
|
Style Transfer (Q)
|
72% |
2979
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7872
290.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12434
460.7 IPS |
|
|
Text Classification (SP)
|
100% |
353
471.3 IPS |
|
|
Text Classification (HP)
|
100% |
354
473.1 IPS |
|
|
Text Classification (Q)
|
92% |
1016
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
57% |
347
8.47 IPS |
